Paper Title:
Public Transportation Share Ratio Prediction Based on Disaggregate Dogit Model
  Abstract

In order to analyze the distributing condition of urban passenger flow scientifically and correctly, the disaggregate Dogit model is presented to predict the public transportation share ration in city, which is carried out by means of analysis of the outer and inner factors that affect the choice of modes of transportation and is based on the random utility theory. Establishment of the model, parameter identification and the process of calculation are described in detail. Finally, according to the proposed algorithm, the public transportation share ratio forecast test is carried out using the field survey data. The results of independent sample test indicate that the model has a finer precision and stability.

  Info
Periodical
Advanced Materials Research (Volumes 378-379)
Chapter
Chapter 2: Structural and New Functional Materials
Edited by
Brendan Gan, Yu Gan and Y. Yu
Pages
191-195
DOI
10.4028/www.scientific.net/AMR.378-379.191
Citation
B. Y. Qi, H. L. Dou, "Public Transportation Share Ratio Prediction Based on Disaggregate Dogit Model", Advanced Materials Research, Vols. 378-379, pp. 191-195, 2012
Online since
October 2011
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Price
$32.00
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